seyyed hassan mousavi

In this study, lettuce cultivars and genotypes native to the country, including two domestic cultivars and six domestic genotypes along with five iceberg lettuce genotypes were evaluated for production in greenhouse conditions. Evaluation was performed in the research greenhouse of the Horticultural Sciences Research Institute in Karaj. The greenhouse experiment was carried out in a randomized complete block design with three replications in spring of 2018. In this study different indices including, number of leaves, leaf length and width, head length and diameter, depth of incisions leaf, , head firmness and yield and qualitative indices like leaf color, texture tenderness, the presence of anthocyanin and maturity were measured. Data were analysed with SPSS ver.16, means comparison was done with Duncan test. Correlation of quantitative traits with yield was done by person test and regression of independent variables with yield was done by linear stepwise method. Results showed a significant positive correlation between the yield and variables including head length and diameter, leaf length and width, leaf numbers. So that, Grizzly cultivar and Borazjan accession with the most head and leaves’ length and diameter had the highest yield in the experiment. Linear regression of the traits with yield revealed that only head’s length had the significant effect on the yield. There were variations in quantitative traits and maturity between accessions and cultivars. The cultivars Bombola, Grizzly, Borazjan, Peache-Ahvaz and Varesh had the good marketable, taste and flavour. Altogether, the superior accessions and cultivars such as Bombola, Grizzly, Borazjan, Peache-Ahvaz and Varesh for using in breeding program or cultivation under greenhouse condition were selected.

Plants survive in salinity stress by different mechanisms (Mustafa et al., 2020). Melon is grown in arid and semi-arid regions worldwide especially in where the salinity is a threat. Iran is known as one of major centers of diversity for melon in the world (Pitrat, 2008). There is a wide genetic variation among Iranian native melon landraces. This wide range of diversity can be exploited for increasing drought tolerance in breeding programs. Iran ranks fifth in global melon production (FAOSTAT, 2019). Cultivation of native melons in Iran is offten implemented in the margins of desert areas which have degrees of drought and salinity. Therefore salinity tolerance is known as important factor in melon cropping in Iran. Melon is known as a semi-salt-tolerant plant. Salinity stress causes numerous damages such as irregular growth and developement, metabolic disorders, yield loss and poor flesh quality of Melon. Tolerance of melon genotypes to salinity stress depends on the genetic tolerance of genotypes, environmental factoers like of salinity, and plant growth stage. The most marketable Iranian Melon genotypes are produced in warm and dry weather. According to the classification, Iranian Melon, is one of the plants adapted for semi-saline area (Sobhani & Hamidi, 2014).

This study was carried out in 2019 cropping season in Vegetable Research Center (VRC) of Horticulture Science Research Institute of Iran (HSRI) in factorial were administered in three replications design based on completely randomized block design with six melon genotypes including Durango, Shadegani, Shahabadi, Dargzi, Atashi and Khatouni and five salinity levels including 0, 30, 60, 90 and 120 mmol Sodium Chloride. Melon genotypes was planted in the sand in the greenhouse. The sand was washed three times with tap water and sterilized in 120 °C and 1 bar for 30 minutes. Seeds were sown in about 10 L of sterilized sand in plastic pots. Wet weight of oots and shoots were measured and then placed in the oven at 70 °C for 48 hours to measure the dry weight. Genotypes tolerance to salinity was evaluated by the Van-Hoffman index (Mangal & Hooda, 1988). Germination percentage and relative growth in traits in both wet and dry plant organs were analyzed in factorial statistical method using SAS 9.4. Comparing means of the traits were laied out with Duncan’s Multiple Range Test. All graphs were drawn using Excel 2013 software.

In 30 mmol of salinity, Dorango, Shadegani, Shahabadi, Dargzi, Atashi and Khatouni genotypes, respectively, and in 60, 90 and 120 mmol salinity Dorango, Shahabadi, Shadegani, Dargzi, Atashi and Khatuni genotypes, have the highest germination percentage respectively. Compared to the control (No salinity). Studying salinity tolerance of studied genotypes in vegetative growth stage showed that in 30 mmol salinity Shadegani, Dorango, Shahabadi, Khatouni, Atashi, Dargzi genotypes, respectively, in 60 mmol salinity Shadegani, Durango, Shahabadi, Khatouni, Dargazi genotypes, respectively. Atashi, at 90 mmol salinity, Shadegani, Durango, Khatouni, Dargzi, Shahabadi, Atashi genotypes, respectively, and at 120 mmol salinity, Shadegani, Durango, Shahabadi, Khatouni, Dargzi, and Atashi genotyopes, respectively. Germination was significantly different in the studied genotypes and decreased with increasing salinity level.

This result confirms the results of the similar researchs. Therefore, it is suggested that the salinity level and the proper genotype for that salinity level must be determined for a high yielding marketable fruit production.

The purposes of this study were to, estimation of profitability indexes of Lettuce production and selecting of the best treatment in different systems.This study was conducted on a farm with land area of 5000 m2 in a randomized complete block design with four replications and three treatments in 2013 including: transplanting, seed planting (seeding) and delayed transplanting in Nazarabad, Karaj province. Economical analysis of this study done with Partial budgeting technique and Marginal rate of return (MRR ) by Excel. Results of this study showed that indirect planting (transplanting) to seeding and delayed transplanting increased 11.6% and 85.9%, respectively. Means of cost and gross income for lettuce production in transplanting method to seeding method increased 15% and 48.8%, respectively, while, increasing of income is more than increasing of cost production. Means of cost and gross income for lettuce production in transplanting method to delayed transplanting method decreased 2.1% in cost and increased 178.8% in income, respectively. Net income in transplanting, seeding and delayed transplanting methods was estimated 170.2, 86.5 and -32.6 million rials/ha, respectively. Marginal rate of return (MRR) for replacement of transplanting treatment instead of other treatments was estimated more than interest rate.Thus, investment in transplanting method is economic and selecting as a the best treatment.

The purpose of this study was to present a competence model for leaders of quantum organizations. This research was exploratory and mix method (qualitative and quantitative). In the qualitative part of the statistical society, the research was conducted by professors of management from different universities and the statistical population of the quantitative part of the research consisted of the managers of the companies affiliated to the oil industry in Isfahan. The sampling was carried out in a multistage targeted manner based on classification method Fits the volume. The data gathering tool consisted of two researcher-made questionnaires. Their formal and content validity was confirmed by professors in management in the field of quantum organization and competence of the leaders. Reliability of the questionnaires was calculated by calculating the Cronbach's alpha coefficient, all of which were above 0.70 and were desirable. The competency model of the quantum organization leaders was presented using structural equation modeling technique with 5 competence dimensions: individual, interpersonal, managerial, analytical / perceptual, technical, and 57 competencies of leadership.

Some of the morpho-physiological characteristics related to the leaf growth and development of Phaseolus vulgaris L. genotypes have been studied in the field conditions at the Seed and Plant Improvement Institute (SPII). The study was performed as split plot experiment in a randomized complete block design with four replications in well-watered and water deficit conditions with eight genotypes of white، red and Chitti beans. Results indicated that water deficit reduced the number of trifoliate leaves and the reduction in the vegetative stage was greater than the flowering stage. Due to water stress، MCD4011 had the least reduction and COS16 showed significant reduction in leaf numbers in both stages. Leaf angle was affected by irrigation regimes and increased under water deficit condition. White beans showed more than the average in leaf angle. Drought also increased leaf temperature of all genotypes. Genotypes WA4531-17 and KS21486 had the highest specific leaf weight (SLW) and succulence index (SucI) in both irrigation conditions، respectively. Water shortage caused significant decreases in leaf area index (LAI) and relative water content (RWC) in all genotypes. In this condition، AND1007 had higher LAI than other genotypes. The white lines had mean RWC higher than other two groups. Reduction percentages of RWC in genotypes were between 3-10%. Drought stress reduced quantum yield (Fv/Fm) of PSII photochemistry، the lowest decrease was observed in MCD4011 line. Whereas the white lines had the greatest mean proline content in well-watered treatments، but showed the least values of it under stress conditions. Overall، water deficit caused reductions in the most evaluated traits، and increased leaf temperature، leaf angle and proline content of all genotypes up to 2°C، 59% (α=24°) and 105%، respectively.

In this article، an evaluating model for ranking the fuel stations of N. I. O. P. D. C. is presented. The model was formulated based on one of MCDM techniques known as Analytical Hierarchy Process (AHP). More specifically، initially، we conducted a survey through administering a questionnaire to experts in order to identify the criteria for evaluating fuel stations. Then، we determined criteria weights using a questionnaire on the basis of AHP standard. We used a rating scale instead of direct pair wise comparisons among alternatives so that we could overcome the explosion in the number of required comparisons when the number of alternatives is excessively large. Then، we calculated global Weights of every criterion in each level and after that considering assigned rates by evaluators to every fuel station، the scores of every fuel station was eventually calculated. All of weights were calculated and run using EC software. To test the presented model، we evaluated four stations in Zanjan province.